A home surveillance system that will record video only when there is some kind of motion happens. This will help us to save the storage.

Python-driven Computer Vision project designed to act as a digital sentry for your home. By blending the efficiency of OpenCV with the reliability of Haar cascade classifiers, I transform a standard webcam into an intelligent monitoring tool capable of identifying human presence in real-time.

I built this because I purchased several different brands of home monitoring cameras, only to find that **each one required its own separate app**. There was no single place to see all my cameras at once.

Home surveillance using a Raspberry Pi, a Raspberry Camera (or any other camera configured with Motion) and two temperature sensors DS18B20. Node.js

Autoencoder for gait recognition and elderly monitoring.

Home Surveillance System in MATLAB with two functionalities : Fall Detection (https://github.com/harishrithish7/Fall-Detection) & Change Detection ; which can send E-mail alerts.